Shahinur Alam, Ph.D.

Shahinur Alam, Ph.D. Email and Phone Number

Baltimore, MD, US
Shahinur Alam, Ph.D.'s Location
Baltimore, Maryland, United States, United States
About Shahinur Alam, Ph.D.

With over 8 years of experience in research and innovation, I have consistently pushed the boundaries of technology to create impactful solutions in human-computer interaction, virtual reality, artificial intelligence, and medical imaging. With a Ph.D. in Computer and Electrical Engineering from Chungbuk National University, my work spans across gesture-based interaction, air-writing, and and image enhancement techniques.Currently, I am a Post-Doctoral Research Fellow at Gallaudet University, leading the development of an immersive VR system for American Sign Language (ASL) education under the NSF-funded SAIL project. By collaborating with 3D artists and motion capture engineers, We've developed a signing avatar and real-time feedback system, achieving 89% accuracy in sign recognition and receiving over 90% positive feedback from user studies.Previously, as a Postdoctoral Researcher at Chungbuk National University, I spearheaded projects on MRI image enhancement using deep learning. Further, I developed an enhanced model for air writing and trajectory recognition achieving up to 99% recognition accuracy, demonstrating my commitment to precision and excellence.During my PhD, I introduced a novel finger joint tracking-based writing system using the Intel RealSense camera, achieving 91% recognition accuracy with less than 60 ms recognition time per character. I implemented an air-writing method using machine learning and the Intel RealSense TOF camera, achieving 97% accuracy and created and published the RTD (20k trajectory digits) and RTC (26k trajectory characters) datasets. Additionally, I developed a GAN-based super-resolution algorithm for integral imaging microscopes, enhancing resolution by up to 8 times and significantly improving image quality and illumination. My technical expertise includes proficiency in Python, TensorFlow, Keras, and various machine learning algorithms, complemented by hands-on experience with devices like Meta Oculus Quest and Intel RealSense. I am passionate about utilizing my skills to drive technological advancements and improve user experiences across various applications. Connect with me to explore potential collaborations or to learn more about my work.

Shahinur Alam, Ph.D.'s Current Company Details
The Johns Hopkins University

The Johns Hopkins University

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Lecturer
Baltimore, MD, US
Shahinur Alam, Ph.D. Work Experience Details
  • The Johns Hopkins University
    Lecturer
    The Johns Hopkins University
    Baltimore, Md, Us
  • Gallaudet University
    Postdoctoral Research Associate
    Gallaudet University Apr 2022 - Present
    Washington, District Of Columbia, United States
    • Led development of immersive VR system for ASL education under NSF-funded SAIL project using MetaOculus Quest 2 and 3 and Unreal Engine.• Collaborated with 3D artists and motion capture engineers to create a signing avatar and real-time feedback system.• Implemented a sign recognition algorithm with deep learning models (CNN and LSTM) using Python,TensorFlow, and Keras in an anaconda environment, achieving 89% accuracy.• Conducted data collection with 40+ deaf or ASL-fluent participants and user studies with 20+ hearinglearners, receiving over 90% positive feedback on system effectiveness.
  • Solution Explorer
    Founder
    Solution Explorer Oct 2013 - Mar 2024
    Jessore, Khulna, Bangladesh
    Solution explorer provides readymade and custom software products based on the requirement. Additionally, it provides different kinds of graphics and web development services, but not limited to.
  • Hostbengal
    Founder
    Hostbengal Dec 2013 - Feb 2024
    Bangladesh
    System AdministratorDeveloper
  • Chungbuk National University
    Postdoctoral Researcher
    Chungbuk National University Sep 2021 - Mar 2022
    Cheongju, North Chungcheong, South Korea
  • Optical Information Processing Lab (Oip)
    Graduate Research Assistant
    Optical Information Processing Lab (Oip) Sep 2016 - Aug 2021
    Cheongju, North Chungcheong, South Korea
    • Introduced a novel finger joint tracking-based writing system using Intel RealSense camera, achieving 91% recognition accuracy with less than 60 ms recognition time per character.• Implemented an air-writing method using machine learning and Intel RealSense TOF camera, achieving 97% accuracy; created and published the RTD (20k trajectory digits) and RTC (26k trajectory characters)datasets.• Developed a GAN-based super-resolution algorithm for integral imaging microscopes, enhancing resolution by up to 8 times and significantly improving image quality and illumination.• Guided and mentored over 10 graduate students in various innovative research projects.

Shahinur Alam, Ph.D. Skills

Web Design Web Development Html Css Bootstrapping Php Codeigniter Search Engine Optimization Javascript Software Development C C++ C# Android Development Graphic Design Photoshop Illustrator Database Administration Phpmyadmin Mysql Sqlite Pl/sql Oracle Web Hosting Shared Hosting Virtual Hosting Managed Hosting Whmcs Cpanel Java Vhdl Opencv Enterprise Software Git Github Bitbucket Sql

Shahinur Alam, Ph.D. Education Details

Frequently Asked Questions about Shahinur Alam, Ph.D.

What company does Shahinur Alam, Ph.D. work for?

Shahinur Alam, Ph.D. works for The Johns Hopkins University

What is Shahinur Alam, Ph.D.'s role at the current company?

Shahinur Alam, Ph.D.'s current role is Lecturer.

What schools did Shahinur Alam, Ph.D. attend?

Shahinur Alam, Ph.D. attended Chungbuk National University, University Of Dhaka, Jessore University Of Science And Technology, Govt. K.c. College Jhenidah, Madhupur Secondary High School.

What skills is Shahinur Alam, Ph.D. known for?

Shahinur Alam, Ph.D. has skills like Web Design, Web Development, Html, Css, Bootstrapping, Php, Codeigniter, Search Engine Optimization, Javascript, Software Development, C, C++.

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